Software Radio: Technologies and Service
Software Radio: Technologies and Service
Cyclostationarity: half a century of research
Signal Processing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Software radio: a modern approach to radio engineering
Software radio: a modern approach to radio engineering
Insights on ICI and its effects on performance of OFDM systems
Digital Signal Processing
Entropy-based spectrum sensing in cognitive radio
Signal Processing
New algorithms for blind recognition of OFDM based systems
Signal Processing
IEEE 802.22: the first cognitive radio wireless regional area network standard
IEEE Communications Magazine
OFDM system identification for cognitive radio based on pilot-induced cyclostationarity
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
ML estimation of time and frequency offset in OFDM systems
IEEE Transactions on Signal Processing
Statistical tests for presence of cyclostationarity
IEEE Transactions on Signal Processing
Vertical handoffs in fourth-generation multinetwork environments
IEEE Wireless Communications
A robust timing and frequency synchronization for OFDM systems
IEEE Transactions on Wireless Communications
Peak power reduction for OFDM systems with orthogonal pilot sequences
IEEE Transactions on Wireless Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
On the extraction of the channel allocation information in spectrum pooling systems
IEEE Journal on Selected Areas in Communications
Cyclostationary Signatures in Practical Cognitive Radio Applications
IEEE Journal on Selected Areas in Communications
Computers and Electrical Engineering
Volume-based method for spectrum sensing
Digital Signal Processing
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The emerging trend to provide users with ubiquitous seamless wireless access leads to the development of multi-mode terminals able to smartly switch between heterogeneous wireless networks. This switching process known as vertical handoff requires the terminal to first detect the surrounding networks it is compatible with. In the context where these networks are cognitive, this can be challenging since the carrier frequency of their access point may change over the time. One solution to overcome this challenge is to embed network specific signatures in the PHY layer. We here focus on cognitive OFDM systems and advocate to embed signatures onto pilot tones since (i) it makes possible to discriminate systems with the same modulation parameters (ii) it creates easy to intercept signatures implying short detection latency (iii) it avoids adding any side information dedicated to detection that would reduce systems capacity. We propose two complementary signature/detection schemes based on second and third-order statistics, respectively. The first scheme relies on redundancy between pilot symbols and the second is based on the use of maximum-length sequences. Detailed numerical examples demonstrate the efficiency of the two detection criteria in realistic environments.